Stop the war!

Остановите войну!

for scientists:

default search action

combined dblp search
author search
venue search
publication search

ask others

"Feature Ranking Importance from Multimodal Radiomic Texture Features using ..."

Seong-O Shim et al. (2022)

> Home

Details and statistics

DOI: 10.1016/J.BDR.2022.100331

access: closed

type: Journal Article

metadata version: 2022-09-10

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/bdr/ShimAHA22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/bdr/ShimAHA22
Seong-O Shim, Monagi H. Alkinani, Lal Hussain, Wajid Aziz:
Feature Ranking Importance from Multimodal Radiomic Texture Features using Machine Learning Paradigm: A Biomarker to Predict the Lung Cancer. Big Data Res. 29: 100331 (2022)

a service of

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.